Unparalleled sarcasm: a framework of parallel deep LSTMs with cross activation functions towards detection and generation of sarcastic statements.

Sarcasm is a modest kind of mockingly expressing one's own thoughts. With the advent of social networking communication, new routes of sociability have proliferated. It may also be stated that the four chariots of being socially hilarious nowadays are humour, irony, sarcasm, and wit. Sarcasm is a cl...

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Publicado en:Language Resources & Evaluation Vol. 57; no. 2; pp. 765 - 803
Autores principales: Das, Sourav, Ghosh, Soumitra, Kolya, Anup Kumar, Ekbal, Asif
Formato: Artículo
Publicado: Springer Nature Jun2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2023
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      pub: Springer Nature
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        163826591
        10.1007/s10579-022-09622-3
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        atl: Unparalleled sarcasm: a framework of parallel deep LSTMs with cross activation functions towards detection and generation of sarcastic statements.
      aug:
        au:
          Das, Sourav
          Ghosh, Soumitra
          Kolya, Anup Kumar
          Ekbal, Asif
        affil:
          Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning), Future Institute of Technology, 700154, Kolkata, India
          Department of Computer Science and Engineering, Indian Institute of Technology, Patna, India
          Department of Computer Science and Engineering, RCC Institute of Information Technology, 700015, Kolkata, India
      su:
        Sarcasm
        Telecommunication systems
        Popular culture
        Short-term memory
        Long-term memory
        Social networks
      sug:
        subj:
          Sarcasm
          Telecommunication systems
          Popular culture
          Short-term memory
          Long-term memory
          Social networks
      keyword:
        Feature optimization
        Long short term memory networks
        Natural language generation
        Sarcasm detection
        Sarcasm generation
      ab: Sarcasm is a modest kind of mockingly expressing one's own thoughts. With the advent of social networking communication, new routes of sociability have proliferated. It may also be stated that the four chariots of being socially hilarious nowadays are humour, irony, sarcasm, and wit. Sarcasm is a clever means of encapsulating any intrinsic truth, message, or even satire in a humorous way. In this paper, we manually extract the features of a benchmark pop culture sarcasm corpus encompassing sarcastic conversations and monologues in order to build padding sequences from the vector representations' matrices. We also suggest a hybrid of four Parallel Long Short Term Networks, each with its own activation classifier. Consecutively it achieves 98.31% accuracy among the test cases on open-source English literature. Our approach transcends several previous state-of-the-art works and results in sophisticated sarcastic statement generation. We also culture the probable prospects for producing even better refined automated sarcasm generation.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2023. All Rights Reserved.
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      holder: Springer Nature
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          year: 2023
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